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Pectin oligosaccharides improved lipid metabolism in white adipose tissue of high-fat diet fed mice
Zixin Fan,Xuejiao Chen,Tianzhi Liu,Qianhui Yu,Ziqi Song,Fei Wang,Tuoping Li 한국식품과학회 2022 Food Science and Biotechnology Vol.31 No.9
Impacts of pectin oligosaccharide (POS) got from hawthorn fruitage on adiponectin signaling pathway and white adipose metabolism in mice fed with high-fat control. The results showed that POS significantly inhibited the levels of inflammatory cytokines TNF-α and IL-6, and down-regulated expression of CD68. POS dramatically reduced gene expression contents of fatty acid composite concerning enzymes ACC and FAS, as well as TG synthesis-related enzymes SCD-1 and DGAT1 as compared to a high-fat group (HFC). POS dramatically increased expression levels of oxidation-related enzymes of fatty acid ACO, CPT-1, and TG deposition-related enzymes ATGL and HSL as contrast to the high-fat control group. In addition, POS activated adiponectin-mediated AdipoR1/AMPK/PPARα signaling path by upregulating expression levels of AdipoR1, AMPK and PPARα. The results demonstrated that POS can improve lipid metabolism of adipose tissue, and contribute to the creation of functional foods to prevent and treat lipid metabolism disorders.
Sliding Mode Predictive Active Fault-tolerant Control Method for Discrete Multi-faults System
Pu Yang,Zhangxi Liu,Dejie Li,Zhiqing Zhang,Zixin Wang 제어·로봇·시스템학회 2021 International Journal of Control, Automation, and Vol.19 No.3
For discrete systems with sensor and actuator failures, this paper proposes an observer that can estimate both sensor failures and actuator failures and designs a sliding mode predictive fault-tolerant control method based on an improved whale optimization algorithm. First, a proportional-integral observer that can observe actuator fault and sensor fault is designed to estimate the value of faults, which greatly improves the work efficiency. After that, a global sliding mode surface is designed as a prediction model, so that the initial state of the system is located on the sliding mode surface to avoid the instability of the sliding mode approaching the process. The reference trajectory of a power function with uncertainty and disturbance compensation is designed to reduce the bad influence of uncertainty and disturbance on the system and suppress chattering greatly. Meanwhile, in the rolling optimization part, an improved whale optimization algorithm(IWOA) is designed to optimize the control law. Finally, the simulation results on the four-rotor helicopter simulation platform show the practicability and superiority of the algorithm.
Xinyang Wu,Shuting Chen,Zixin Zhang,Yihan Zhang,Pingmei Li,Xinyi Chen,Miaomiao Liu,Qian Lu,Zhongyi Li,Zhongyan Wei,Pei Xu 한국식물병리학회 2023 Plant Pathology Journal Vol.39 No.5
Cowpea mild mottle virus (CPMMV) is a global plant virus that poses a threat to the production and quality of legume crops. Early and accurate diagnosis is essential for effective managing CPMMV outbreaks. With the advancement in isothermal recombinase polymerase amplification and lateral flow strips technologies, more rapid and sensitive methods have become available for detecting this pathogen. In this study, we have developed a reverse transcription recombinase polymerase amplification combined with lateral flow strips (RT-RPA-LFS) method for the detection of CPMMV, specifically targeting the CPMMV coat protein (CP) gene. The RT-RPA-LFS assay only requires 20 min at 40°C and demonstrates high specificity. Its detection limit was 10 copies/μl, which is approximately up to 100 times more sensitive than RT-PCR on agarose gel electrophoresis. The developed RT-RPA-LFS method offers a rapid, convenient, and sensitive approach for field detection of CPMMV, which contribute to controlling the spread of the virus.
Relay selection and Optimization algorithm of Power allocation based on Channel Delay for UWSN
YunLi,Zhigang Jin,Xunjun Wang,Zixin Liu 보안공학연구지원센터 2016 International Journal of Future Generation Communi Vol.9 No.2
In the light of the characteristics of random change that underwater sensor change by time, space and frequency, select the best relay node to improve communication quality and get the diversity gain. A new optimal relay selection method is proposed in this paper, by considering two indexes synthetically that channel gain and underwater acoustic communication long time delay to select the best relay node. Based on the best relay node and minimization of bit error rate to take optimal power allocation of source node and relay node to realize network error rate’s reduction of 1.81 dB so then improve the overall performance of the network.